Senior Analyst, Data Science

Key Responsibilities:

• Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, AI/ML Observability, Monitoring, and Reporting.
• Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis.
• Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables.
• Work on MLOps frameworks to deploy, monitor and validate AI / ML models in real time.
• Work with multiple teams such as Data Supply, Product, Governance, PMO, Technology to implement analytical solutions and models.

Requirements

• 4 to 6 years of relevant experience in Data Analytics / Data Science roles.
• Strong programming skill in tools such as Pyspark, Python, SQL to manipulate data and create deployable production code.
• Knowledge of Python packages and tools.
• Sound knowledge and exposure to application of Statistical / Machine Learning techniques.
• Experience in building and optimizing data pipelines, architectures and data sets.
• Creating API solutions and performing testing of API based products.
• Ability to interpret and translate data into meaningful business insights.
• Knowledge of LLM frameworks/GPT, LangSmith, LangChain will be additional advantage.
• Excellent verbal, written communication and presentation skills.

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